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FEPMA: Fine-grained event-driven power meter for android smartphones based on device driver layer event monitoring.

, , , , , and . DATE, page 1-6. European Design and Automation Association, (2014)

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An improved logical effort model and framework applied to optimal sizing of circuits operating in multiple supply voltage regimes., , , and . ISQED, page 249-256. IEEE, (2014)A Reinforcement Learning-Based Power Management Framework for Green Computing Data Centers., , and . IC2E, page 135-138. IEEE Computer Society, (2016)Power conversion efficiency characterization and optimization for smartphones., , , , and . ISLPED, page 103-108. ACM, (2012)Optimal power switch design methodology for ultra dynamic voltage scaling with a limited number of power rails., , and . ACM Great Lakes Symposium on VLSI, page 323-328. ACM, (2014)A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers., , , , , , and . ECCV (8), volume 11212 of Lecture Notes in Computer Science, page 191-207. Springer, (2018)Minimizing state-of-health degradation in hybrid electrical energy storage systems with arbitrary source and load profiles., , , , and . DATE, page 1-4. European Design and Automation Association, (2014)VRCon: Dynamic reconfiguration of voltage regulators in a multicore platform., , and . DATE, page 1-6. European Design and Automation Association, (2014)A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars., , , , , , and . SoCC, page 317-322. IEEE, (2016)An Energy-Efficient Online-Learning Stochastic Computational Deep Belief Network., , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (3): 454-465 (2018)DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks., , , , , and . ICCD, page 678-681. IEEE Computer Society, (2016)